Discuss the similarities and the differences between the Empirical Rule and Chebychev’s Theorem.
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Here we have to discuss the similarities and differences between the Empirical rule and Chebyshev's theorem.
Similarity: Both estimate proportions (or percentage) of the data contained within k standard deviation of the mean.
Difference: The Empirical rule is used when data distribution is bell shaped, because we have more information about the shape of the distribution. Chebyshev's theorem is used for all distribution shapes.